A Four-Band Semi-Analytical Model for Estimating Phycocyanin in Inland Waters From Simulated MERIS and OLCI Data

Liu, G; Simis, SGH; Li, L; Wang, Q; Li, Y; Song, K; Lyu, H; Zheng, Z; Shi, K. 2018 A Four-Band Semi-Analytical Model for Estimating Phycocyanin in Inland Waters From Simulated MERIS and OLCI Data. IEEE Transactions on Geoscience and Remote Sensing, 56 (3). 1374-1385. https://doi.org/10.1109/TGRS.2017.2761996

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Official URL: https://doi.org/10.1109/TGRS.2017.2761996

Abstract/Summary

Existing remote sensing algorithms to estimate the phycocyanin (PC) concentration in turbid inland waters have high associated uncertainties, especially at low PC concentrations in diverse phytoplankton communities. This study provides the theoretical framework for a four-band semi-analytical algorithm (FBA_PC) which isolates PC absorption from second-order variability caused by yellow matter and other phytoplankton pigment absorption. The algorithm suits the band configuration of both the Medium Resolution Imaging Spectrometer (MERIS) and Sentinel-3 Ocean and Land Color Instrument (OLCI). Calibration of the algorithm was based on absorption data from twelve inland water bodies in the USA, The Netherlands, and China, combined with measurements from laboratory-grown cultures, demonstrated that the assumptions underlying FBA-PC are an improvement over existing three-band approaches. Validation of FBA_PC in seven inland water bodies in the USA, The Netherlands, and China showed good agreement of FBA_PC adjusted to the MERIS/OLCI band configuration with measured PC, with root-mean-square error (RMSE) = 27.691 mg m-3, mean absolute percentage error (MAPE) = 172.863 %, and coefficient of determination (R2) = 0.730). FBA_PC outperformed previously proposed PC algorithms that can be applied to MERIS or OLCI data, and is expected to be more robust when applied to a wider range of water bodies.

Item Type: Publication - Article
Additional Information. Not used in RCUK Gateway to Research.: © © 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Additional Keywords: remote sensing, turbid inland waters, phytoplankton, cyanobacteria, phycocyanin, MERIS, OLCI
Subjects: Earth Observation - Remote Sensing
Divisions: Plymouth Marine Laboratory > Science Areas > Earth Observation Science and Applications
Depositing User: Dr Stefan Simis
Date made live: 20 Nov 2017 14:46
Last Modified: 05 Apr 2018 14:14
URI: http://plymsea.ac.uk/id/eprint/7582

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